论文标题
可变星的ASA-SN目录X：使用G波段光度法发现116,000个新变量星星
The ASAS-SN Catalog of Variable Stars X: Discovery of 116,000 New Variable Stars Using g-band Photometry
论文作者
论文摘要
Supernovae（ASAS-SN）的全套自动化调查是监视整个天空的第一个光学调查，目前的$ \ lyssim $ \ lyssim 24美元$ $小时降低至$ g \ lyssim 18.5 $ mag。自2013年以来，ASAS-SN经常运营，$ \ sim $ \ sim $ 2,000至7,500个$ v $的7,500个时代和$ g-$ g-$ band观测迄今为止。这项工作说明了对ASAS-SN更新，更深，更高的Cadence $ g- $ band Data的首次分析。从$ {\ sim}的输入源列表中，使用$ g <18 $ 〜MAG的隔离来源，我们使用$ \ textit {gaia} $，2mass和Allwise的功能培训的随机森林分类器，确定了$ 1.5 \ times10^6 $可变星候选者。使用ASAS-SN $ g-$ band Light曲线，以及带有Citizen ASAS-SN数据的更新的随机森林分类器，我们将候选变量分类为8种广泛的可变性类型。我们提供了$ {\ sim} 116,000 $具有高分类概率的新变量星目录的目录，包括$ {\ sim} 111,000 $周期性变量和$ {\ sim} 5,000 $不规则变量。我们还恢复了$ {\ sim} 263,000 $已知的变量星。
The All-Sky Automated Survey for Supernovae (ASAS-SN) is the first optical survey to monitor the entire sky, currently with a cadence of $\lesssim 24$ hours down to $g \lesssim 18.5$ mag. ASAS-SN has routinely operated since 2013, collecting $\sim$ 2,000 to over 7,500 epochs of $V$ and $g-$band observations per field to date. This work illustrates the first analysis of ASAS-SN's newer, deeper, higher cadence $g-$band data. From an input source list of ${\sim}55$ million isolated sources with $g<18$~mag, we identified $1.5\times10^6$ variable star candidates using a random forest classifier trained on features derived from $\textit{Gaia}$, 2MASS, and AllWISE. Using ASAS-SN $g-$band light curves, and an updated random forest classifier augmented with data from Citizen ASAS-SN, we classified the candidate variables into 8 broad variability types. We present a catalog of ${\sim}116,000$ new variable stars with high classification probabilities, including ${\sim}111,000$ periodic variables and ${\sim}5,000$ irregular variables. We also recovered ${\sim}263,000$ known variable stars.
